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Jassi Pannu, Assistant Professor at Johns Hopkins, explains how rapidly advancing AI is transforming biological research and raising the risk of engineered pandemics. They map today’s biosecurity landscape, from pathogen detection and DNA sequencing to vaccine development, and examine how frontier models can already troubleshoot lab work and bypass data safeguards. The conversation introduces a proposed Biosecurity Data Level framework to restrict only the most dangerous functional biological data while preserving open science. They close with a broader defense-in-depth strategy—Delay, Deter, Detect, Defend—including DNA synthesis screening, global pathogen surveillance, and practical tools like Far UV sterilization.
LINKS:
Jassi Pannu: https://x.com/JassiPannuMD
Science article that prompted this conversation: https://www.science.org/doi/10.1126/science.aeb2689
Sponsors:
VCX:
VCX, by Fundrise, is the public ticker for private tech, giving everyday investors access to high-growth private companies in AI, space, defense tech, and more. Learn how to invest at https://getvcx.com
Framer:
Framer is an enterprise-grade website builder that lets business teams design, launch, and optimize their.com with AI-powered wireframing, real-time collaboration, and built-in analytics. Start building for free and get 30% off a Framer Pro annual plan at https://framer.com/cognitive
Claude:
Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr
Tasklet:
Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai
CHAPTERS:
(00:00) About the Episode
(05:59) From outbreak to vaccine
(17:08) Threat actors and data (Part 1)
(21:23) Sponsors: VCX | Framer
(23:53) Threat actors and data (Part 2)
(31:05) Gain-of-function research risks (Part 1)
(37:39) Sponsors: Claude | Tasklet
(41:03) Gain-of-function research risks (Part 2)
(48:05) AI models in biology
(01:00:51) Dangerous AI capabilities
(01:07:59) Biosecurity data level framework
(01:18:58) Policy, governance, and infrastructure
(01:28:53) Defense in depth vision
(01:40:43) Episode Outro
(01:45:02) Outro
PRODUCED BY:
https://aipodcast.ing
Jesse Genet shares how she built a team of AI agents to transform homeschooling, family life, and personal productivity without a software background. She explains how agents like an AI chief of staff, curriculum planner, and content creator help design personalized lessons, analyze kids’ learning, manage educational toys, and even run TikTok. The conversation covers practical delegation workflows, guardrails and trust, and why she treats AIs like employees with onboarding and clear roles. Jesse also explores local models, privacy, and how AI in the home could reshape future work and family life.
Use the Granola Recipe Nathan relies on to identify blind spots across conversations, AI research, and decisions:
Sponsors:
VCX:
VCX, by Fundrise, is the public ticker for private tech, giving everyday investors access to high-growth private companies in AI, space, defense tech, and more. Learn how to invest at https://getvcx.com
Claude:
Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr
Serval:
Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week 4 at https://serval.com/cognitive
Tasklet:
Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai
CHAPTERS:
(00:00) About the Episode
(04:57) Homeschooling context and AI
(15:55) Building an AI team (Part 1)
(19:51) Sponsors: VCX | Claude
(23:18) Building an AI team (Part 2)
(31:03) Onboarding agents like employees (Part 1)
(38:12) Sponsors: Serval | Tasklet
(40:31) Onboarding agents like employees (Part 2)
(40:57) Context, models, and privacy
(48:47) AI intimacy and rights
(56:19) Coordinating agents in Slack
(01:02:19) Designing an agent superapp
(01:08:35) Agent trust and kids
(01:17:57) Voice interfaces for families
(01:29:51) Curated screens and automations
(01:40:28) Sharing setups and software
(01:48:43) Local sovereignty and kid devices
(01:59:26) Work, disruption, and play
(02:04:58) Episode Outro
(02:07:45) Outro
PRODUCED BY:
https://aipodcast.ing
Dan Balsam and Tom McGrath from Goodfire return to explore the frontier of mechanistic interpretability and their new research pillar, Intentional Design. They explain the shift from sparse autoencoders to understanding geometric structure in latent spaces, and share a proof-of-concept method for reducing hallucinations using probes and RL. The conversation tackles concerns about reward hacking, principles for shaping the loss landscape instead of fighting backprop, and what this means for aligning powerful models. They also discuss recent Goodfire results on Alzheimer’s prediction, disentangling memorization vs reasoning weights, and how they balance commercial growth with a public benefit mission.
Nathan uses Granola to uncover blind spots in conversations and AI research. Try it at granola.ai/tcr with code TCR — and if you’re already using it, test his blind spot recipe here: https://bit.ly/granolablindspot
LINKS:
Sponsors:
VCX:
VCX, by Fundrise, is the public ticker for private tech, giving everyday investors access to high-growth private companies in AI, space, defense tech, and more. Learn how to invest at https://getvcx.com
Claude:
Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr
Serval:
Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week 4 at https://serval.com/cognitive
Tasklet:
Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai
PRODUCED BY:
https://aipodcast.ing
Geoffrey Irving, Chief Scientist at the UK AI Security Institute, explains why our theoretical understanding of machine learning remains fragile even as models surpass experts on critical security tasks. He details AISI’s work on frontier model evaluations, red teaming, and threat modeling across biosecurity, cybersecurity, and loss-of-control risks. The conversation explores reward hacking, eval awareness, and why current safety techniques may struggle to deliver high reliability. Listeners will also hear how AISI is funding foundational research to build stronger guarantees for AI safety.
Nathan uses Granola to uncover blind spots in conversations and AI research. Try it at granola.ai/tcr with code TCR — and if you’re already using it, test his blind spot recipe here: https://bit.ly/granolablindspot
Sponsors:
Serval:
Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week 4 at https://serval.com/cognitive
Claude:
Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr
Tasklet:
Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai
CHAPTERS:
(00:00) About the Episode
(04:09) From physics to ML
(08:52) AGI uncertainty and threats (Part 1)
(18:08) Sponsors: Serval | Claude
(21:29) AGI uncertainty and threats (Part 2)
(27:35) Control, autonomy, alignment (Part 1)
(34:02) Sponsor: Tasklet
(35:14) Control, autonomy, alignment (Part 2)
(38:44) Inside the UK AC
(51:02) Evaluations and jailbreaking
(01:01:17) Emerging capabilities and misuse
(01:14:20) Agents and reward hacking
(01:26:09) Theoretical alignment agenda
(01:38:39) Debate and formal methods
(01:51:19) Limits of formalization
(02:02:27) Future risks and governance
(02:16:23) Episode Outro
(02:18:58) Outro
PRODUCED BY:
https://aipodcast.ing
SOCIAL LINKS:
Website: https://www.cognitiverevolution.ai
Twitter (Podcast): https://x.com/cogrev_podcast
Twitter (Nathan): https://x.com/labenz
LinkedIn: https://linkedin.com/in/nathanlabenz/
Youtube: https://youtube.com/@CognitiveRevolutionPodcast
Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431
Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk
Karan Singhal, Head of Health AI at OpenAI, explains how ChatGPT Health is achieving attending-physician-level performance and already serving hundreds of millions of users. He details how OpenAI works with over 250 doctors, built the 49,000-criteria HealthBench evaluation, and ran one of the first randomized trials of AI copilots in clinical care. The conversation explores privacy and safety safeguards, medical multimodality, N-of-1 treatment plans, and how AI could become a standard part of global medical practice.
Nathan uses Granola to uncover blind spots in conversations and AI research. Try it at granola.ai/tcr with code TCR — and if you’re already using it, test his blind spot recipe here: https://bit.ly/granolablindspot
LINKS:
Sponsors:
Claude:
Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr
Serval:
Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week 4 at https://serval.com/cognitive
Framer:
Framer is an enterprise-grade website builder that lets business teams design, launch, and optimize their.com with AI-powered wireframing, real-time collaboration, and built-in analytics. Start building for free and get 30% off a Framer Pro annual plan at https://framer.com/cognitive
Tasklet:
Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai
CHAPTERS:
(00:00) About the Episode
(06:11) Cancer story and mission
(11:46) Designing safe health AI (Part 1)
(17:49) Sponsors: Claude | Serval
(21:09) Designing safe health AI (Part 2)
(26:48) Uncertainty, HealthBench and robustness (Part 1)
(30:23) Sponsors: Framer | Tasklet
(32:50) Uncertainty, HealthBench and robustness (Part 2)
(38:11) Chain-of-thought and evaluation
(46:49) Real-world performance and frontiers
(55:35) Multimodal data and science
(01:05:36) Personalization, privacy and monitoring
(01:15:47) Models, data and incentives
(01:29:31) Doctor adoption and workflows
(01:38:13) Scalable oversight and alignment
(01:51:06) Move 37 and future
(02:00:50) Episode Outro
(02:03:06) Outro
PRODUCED BY:
https://aipodcast.ing
Olive Song from MiniMax shares how her team trains the M series frontier open-weight models using reinforcement learning, tight product feedback loops, and systematic environment perturbations. This crossover episode weaves together her AI Engineer Conference talk and an in-depth interview from the Inference podcast. Listeners will learn about interleaved thinking for long-horizon agentic tasks, fighting reward hacking, and why they moved RL training to FP32 precision. Olive also offers a candid look at debugging real-world LLM failures and how MiniMax uses AI agents to track the fast-moving AI landscape.
Nathan uses Granola to uncover blind spots in conversations and AI research. Try it at granola.ai/tcr with code TCR — and if you’re already using it, test his blind spot recipe here: https://bit.ly/granolablindspot
LINKS:
Conference Talk (AI Engineer, Dec 2025) – https://www.youtube.com/watch?v=lY1iFbDPRlw
Interview (Turing Post, Jan 2026) – https://www.youtube.com/watch?v=GkUMqWeHn40
Sponsors:
Claude:
Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr
Tasklet:
Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai
CHAPTERS:
(00:00) About the Episode
(04:15) Minimax M2 presentation (Part 1)
(17:59) Sponsors: Claude | Tasklet
(21:22) Minimax M2 presentation (Part 2)
(21:26) Research life and culture
(26:27) Alignment, safety and feedback
(32:01) Long-horizon coding agents
(35:57) Open models and evaluation
(43:29) M2.2 and researcher goals
(48:16) Continual learning and AGI
(52:58) Closing musical summary
(55:49) Outro
PRODUCED BY:
https://aipodcast.ing
SOCIAL LINKS:
Website: https://www.cognitiverevolution.ai
Twitter (Podcast): https://x.com/cogrev_podcast
Twitter (Nathan): https://x.com/labenz
LinkedIn: https://linkedin.com/in/nathanlabenz/
Youtube: https://youtube.com/@CognitiveRevolutionPodcast
Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431
Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk
Vlad Tenev and Tudor Achim from Harmonic explain how they built Aristotle, an AI system that reaches International Mathematical Olympiad gold-medal performance using formally verified Lean proofs. They unpack the architecture behind mathematical superintelligence, including Monte Carlo Tree Search, lemma guessing, and specialized geometry modules. The conversation explores how verifiable reasoning could harden mission-critical software, reshape mathematical practice, and lead to trustworthy superintelligent systems by 2030.
Nathan uses Granola to uncover blind spots in conversations and AI research. Try it at granola.ai/tcr with code TCR — and if you’re already using it, test his blind spot recipe here: https://bit.ly/granolablindspot
Sponsors:
Claude:
Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr
Framer:
Framer is an enterprise-grade website builder that lets business teams design, launch, and optimize their.com with AI-powered wireframing, real-time collaboration, and built-in analytics. Start building for free and get 30% off a Framer Pro annual plan at https://framer.com/cognitive
Blitzy:
Blitzy is the autonomous code generation platform that ingests millions of lines of code to accelerate enterprise software development by up to 5x with premium, spec-driven output. Schedule a strategy session with their AI solutions consultants at https://blitzy.com
Tasklet:
Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai
CHAPTERS:
(00:00) About the Episode
(04:58) Math as reasoning (Part 1)
(15:22) Sponsors: Claude | Framer
(18:51) Math as reasoning (Part 2)
(18:51) Inside the Lean language
(27:51) Lean intuition and MathLib (Part 1)
(34:08) Sponsors: Blitzy | Tasklet
(37:08) Lean intuition and MathLib (Part 2)
(38:47) Inside Aristotle's architecture
(48:33) Scope, boundaries, and applications
(54:37) Training, taste, and interpretability
(01:08:18) Formal math and software
(01:16:50) Limits, entropy, and roadmap
(01:25:24) 2030 vision and safety
(01:33:38) Outro
PRODUCED BY:
https://aipodcast.ing
Abhi Mahajan (@owlposting) explains how AI is reshaping biology and medicine, including foundation models to predict cancer treatment response and why he’s both skeptical and optimistic about current results. Helen Toner unpacks CSET’s “When AI Builds AI” report and why automated AI R&D is a major source of strategic surprise. Jeremie Harris then explores our lack of control over superhuman AI systems, fragile US–China coordination, and how to maintain situational awareness in a rapidly shifting landscape.
Nathan uses Granola to uncover blind spots in conversations and AI research. Try it at granola.ai/tcr with code TCR — and if you’re already using it, test his blind spot recipe here: https://bit.ly/granolablindspot
LINKS:
Sponsors:
GovAI:
GovAI was founded ten years ago on the belief that AI would end up transforming our world. Ten years later, the organization is at the forefront of trying to help decision-makers in government and industry navigate the transition to advanced AI. GovAI is now hiring Research Scholars (one-year positions for those transitioning into AI policy) and Research Fellows (longer-term roles for experienced researchers). Both roles offer significant freedom to pursue policy research, advise decision-makers, or launch new initiatives. Applications close 22 February 2026. Apply at: https://www.governance.ai/opportunities
Blitzy:
Blitzy is the autonomous code generation platform that ingests millions of lines of code to accelerate enterprise software development by up to 5x with premium, spec-driven output. Schedule a strategy session with their AI solutions consultants at https://blitzy.com
Tasklet:
Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai
Serval:
Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week four at https://serval.com/cognitive
Claude
Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr
PRODUCED BY:
https://aipodcast.ing
Part 1 of this live special dives into AI for Science, U.S. AI policy, and the behavior of AI agents in open-ended environments. James Zou explains how interpretability and virtual labs of AI agents can accelerate scientific discovery. Sam Hammond assesses the Biden administration’s AI policy, U.S.–Gulf AI deals, and the odds current AIs are conscious. Shoshannah Tekofsky shares insights from studying agent performance and emergent behavior in the AI Village.
Nathan uses Granola to uncover blind spots in conversations and AI research. Try it at granola.ai/tcr with code TCR — and if you’re already using it, test his blind spot recipe here: https://bit.ly/granolablindspot
LINKS:
Sponsors:
GovAI:
GovAI was founded ten years ago on the belief that AI would end up transforming our world. Ten years later, the organization is at the forefront of trying to help decision-makers in government and industry navigate the transition to advanced AI. GovAI is now hiring Research Scholars (one-year positions for those transitioning into AI policy) and Research Fellows (longer-term roles for experienced researchers). Both roles offer significant freedom to pursue policy research, advise decision-makers, or launch new initiatives. Applications close 22 February 2026. Apply at: https://www.governance.ai/opportunities
Blitzy:
Blitzy is the autonomous code generation platform that ingests millions of lines of code to accelerate enterprise software development by up to 5x with premium, spec-driven output. Schedule a strategy session with their AI solutions consultants at https://blitzy.com
Tasklet:
Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai
Serval:
Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week four at https://serval.com/cognitive
Claude
Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr
PRODUCED BY:
https://aipodcast.ing
Alexis Carlier, founder of Asymmetric Security, explains how assuming AGI-level intelligent labor should transform cybersecurity from reactive triage to proactive, continuous digital forensics. He breaks down today’s threat landscape—from “spray and pray” cybercrime to nation-state IP theft and North Korean “remote workers.” The conversation explores Asymmetric’s AI agents for deep investigations, their services-first approach to business email compromise, and how specialized digital forensics may differentially accelerate defensive AI capabilities.
Nathan uses Granola to uncover blind spots in conversations and AI research. Try it at granola.ai/tcr with code TCR — and if you’re already using it, test his blind spot recipe here: https://bit.ly/granolablindspot
Sponsors:
GovAI:
GovAI was founded ten years ago on the belief that AI would end up transforming our world. Ten years later, the organization is at the forefront of trying to help decision-makers in government and industry navigate the transition to advanced AI. GovAI is now hiring Research Scholars (one-year positions for those transitioning into AI policy) and Research Fellows (longer-term roles for experienced researchers). Both roles offer significant freedom to pursue policy research, advise decision-makers, or launch new initiatives. Applications close 22 February 2026. Apply at: https://www.governance.ai/opportunities
Blitzy:
Blitzy is the autonomous code generation platform that ingests millions of lines of code to accelerate enterprise software development by up to 5x with premium, spec-driven output. Schedule a strategy session with their AI solutions consultants at https://blitzy.com
Serval:
Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week four at https://serval.com/cognitive
Tasklet:
Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai
Claude
Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr
CHAPTERS:
(00:00) About the Episode
(04:20) Defining AGI and jaggedness
(12:27) Modern cyber threat landscape (Part 1)
(19:10) Sponsors: GovAI | Blitzy
(22:17) Modern cyber threat landscape (Part 2)
(29:58) AI-powered cyber defense (Part 1)
(33:31) Sponsors: Serval | Tasklet
(36:20) AI-powered cyber defense (Part 2)
(42:20) Inside digital forensics workflows
(51:52) Bootstrapping AI cyber defense
(59:17) Shaping the capability frontier
(01:08:44) Future of automated forensics
(01:17:59) Outro
PRODUCED BY:
https://aipodcast.ing
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